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Low Power Wide Area Network for Large Scale Internet of Things
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<p>This book presents a comprehensive exploration of LPWANs, delving into their fundamental concepts, underlying technologies, and the multifaceted challenges they tackle. This book recognizes that LPWANs don''t operate in isolation; they are intimately intertwined with Artificial Intelligence and Machine Learning (AI/ML) technologies, which play a pivotal role in optimizing LPWAN performance and capabilities. The book is a collection of original contributions regarding air interface, transmission technologies and novel network architectures, such as network slicing, cloud/fog/edge computing, ad hoc networks and software-defined network. Also, this book provides a guide for researchers of IoT applications to choose suitable LPWAN technologies and describe the design aspects, network architectures, security issues and challenges.</p><p> </p><p>Features:</p><ul><li>Explains machine learning algorithms onto low-power wide area network sensors for compressed communications. </li><li>Illustrates wireless-based Internet of Things networks using low-power wide area networks technology for quality air. </li><li>Presents cognitive Internet of Things networks using wireless communication, and low-power wide area network technologies for Ad Hoc networks. </li><li>Discusses a comprehensive study of low-power wide area networks for flying Ad Hoc networks. </li><li>Showcases the study of energy efficient techniques aided by low-power wide area network technologies for the Internet of Things networks. </li></ul><p>The text is aimed at senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.</p>
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